GPTalk: Model selection updated  [06.07.26]

The model selection in GPTalk has been updated. A total of 13 AI models are now available: 2 models from Anthropic, 3 models from OpenAI and 8 models provided via GWDG.

GPTalk is available at:
https://gptalk.uni-hohenheim.de/

Current models in GPTalk

Anthropic

Model Status Provider Strengths / typical use cases
Claude Haiku 4.5 unchanged Anthropic fast responses, short texts, summaries, simple research and administrative tasks
Claude Sonnet 5 NEW Anthropic advanced text work, analysis, structured drafting, longer contexts, strong all-round use

OpenAI

Model Status Provider Strengths / typical use cases
OpenAI GPT 5.4 mini unchanged OpenAI quick everyday tasks, short texts, idea generation, summaries
OpenAI GPT 5.4 NEW OpenAI powerful all-round model for text, analysis, concept development, complex tasks and programming support
OpenAI GPT 5.4 nano unchanged OpenAI very fast, simple tasks, short answers, smaller rewrites

GWDG

The GWDG models are provided via GWDG. They come from different model families.

Model Status Provider / model family Strengths / typical use cases
GWDG Gemma 4 31B Instruct NEW Google / Gemma general assistance, text tasks, structured answers, solid open-model alternative
GWDG Mistral Large 3 675B Instruct 2512 unchanged Mistral AI complex tasks, analysis, text work, multilingual use
GWDG Qwen 3.5 397B A17B unchanged Qwen advanced prompts, analysis, text work and technical questions
GWDG Qwen 3.6 35B A3B NEW Qwen faster all-round model for standard tasks, text work and technical support
GWDG Qwen 3 Coder Next NEW Qwen programming, code explanation, debugging, scripts and technical documentation
GWDG Qwen 3 Omni 30B A3B Instruct unchanged Qwen versatile use, structured tasks, general assistance
GWDG OpenAI GPT OSS 120B unchanged OpenAI general tasks, text, analysis and technical questions
GWDG GLM 4.7 unchanged GLM / Zhipu AI general assistance, text work, analysis, multilingual tasks

Which model should I choose?

For most tasks, a current all-round model such as OpenAI GPT 5.4, Claude Sonnet 5 or one of the larger GWDG models is a good starting point. For short, quick tasks, smaller models such as GPT 5.4 mini, GPT 5.4 nano or Claude Haiku 4.5 are often sufficient. For programming tasks, GWDG Qwen 3 Coder Next is the most obvious choice.

The model choice is not final: depending on the task, it can be worth trying another model. Sometimes the best model is not the largest one, but simply the one that fits the specific question best.


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